Mission & Focus

DeepSeek OCR curates research, tooling, and deployment patterns for the DeepSeek vision-language models. Our goal is to make high-fidelity OCR, document understanding, and multimodal reasoning available to builders who value privacy, reproducibility, and transparent model behavior.

Instead of shipping a closed SaaS, we document how to self-host DeepSeek OCR with familiar frameworks like Transformers, vLLM, and ONNX runtimes. We invest in integration guides, benchmarking suites, and dataset notes so teams can evaluate robustness before shipping to production.

DeepSeek OCR pipelines

How We Got Here

Q1 2024

Research Alignment

DeepSeek released early multimodal checkpoints and compression studies that proved OCR, layout grounding, and instruction following could live inside a single foundation model.

Q3 2024

Open Release

The DeepSeek OCR weights landed on Hugging Face with a permissive license, unlocking reproducible experiments and prompting the community to catalog training recipes.

Late 2024

Community Integrations

Independent contributors published adapters, LangChain bindings, and edge runtimes, demonstrating how the model can power invoices, forms, and multilingual archives.

2025 & Beyond

DeepSeekOCR.org

We built this hub to consolidate demos, governance updates, and enterprise playbooks so teams can translate research artifacts into reliable document intelligence pipelines.

What We Publish

Implementation Guides

Reference notebooks and deployment templates that show how to optimize DeepSeek OCR for GPUs, CPUs, and hybrid edge clusters.

Benchmarking Data

Reproducible evaluations against document QA, multilingual receipts, and structured PDF datasets to help teams select the right compression level.

Case Studies

Stories from builders who automate compliance workflows, digitize manufacturing logs, and localize complex catalogs with DeepSeek OCR.

Governance Updates

Guidance on usage policies, data handling, and contribution routes that keep the ecosystem safe, inclusive, and responsive to real-world feedback.

Values that Guide Us

Privacy First

No telemetry is required to use the model. We document how to run it offline so sensitive data never leaves your environment.

Open Ecosystem

We amplify community repos and encourage transparent benchmarks so improvements remain verifiable and vendor-neutral.

Global Access

Multilingual datasets and localized guides help teams build inclusive products that respect context and script diversity.

Connect With Us

Have questions about the roadmap, want to contribute, or planning an enterprise rollout? Reach out—we love hearing how DeepSeek OCR is being adopted.

Email

support@deepseekocr.org

Expect a response in two business days

GitHub

github.com/deepseek-ai/DeepSeek-OCR

Track issues, releases, and contribution guidelines

Community Chat

Join the open discussion

Swap tips with researchers and integrators